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US Patent 11163731 Autobuild log anomaly detection methods and systems

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Patent
Patent

Patent attributes

Patent Applicant
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11163731
Date of Patent
November 2, 2021
Patent Application Number
20200504
Date Filed
May 4, 2020
Patent Citations Received
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US Patent 12086038 Unsupervised log data anomaly detection
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US Patent 11966721 Extended reality platform and machine learning engine for automated code error resolution
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US Patent 12072792 Software testing using machine learning
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US Patent 11513927 Method and system for performing testing operations for information handling systems
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US Patent 11914976 Three-dimensional software code review engine
0
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US Patent 11921603 Automated interoperational tracking in computing systems
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Patent abstract

Computing systems, database systems, and related methods are provided for detecting anomalies within a log file. One method involves obtaining log data for test runs executed with respect to a compiled version of executable code for an application platform, filtering the log data based on one or more performance metrics to obtain reference log data, converting the reference log data to a corresponding numerical representation and generating a matrix of the numerical representation. For each line of test log data associated with an update to the executable code, the method converts the line into a numerical representation, determines a difference between the numerical representation and the matrix, and provides an indication of an anomaly when the difference is greater than a detection threshold.

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